SocialPulse AI

TensorFlow.jsで構築されたAI駆動のソーシャルメディア分析・自動化ツール。このサーバーは、感情分析、有害性検出、エンゲージメント予測、コンテンツクラスタリングなど、複数の機械学習ツールを提供し、YouTube、Instagram、Twitterなどの複数プラットフォームにわたるインタラクションを分析します。データプライバシーと低遅延処理のためローカルで動作します。特徴：クロスプラットフォーム対応、ローカルMLモデル実行、x402収益化対応。

GitHubこのMCPを試すスポンサー

ドキュメント

TensorFlow.js Social Media MCP Server

MCP Server

A comprehensive suite of machine learning tools for analyzing and automating interactions across multiple social media platforms, built on TensorFlow.js and powered by the Model Context Protocol (MCP).

This server performs ML-based analytics locally (e.g., sentiment analysis, toxicity detection, engagement prediction, content clustering) without relying on external cloud-based AI services, ensuring data privacy and low-latency processing.

Key Features

  • Cross-Platform Support: Tools for YouTube, Instagram, TikTok, Twitter, Facebook, Discord, Twitch, Reddit, LinkedIn, Threads, Bluesky, Mastodon, GitHub, Spotify, and Pinterest.
  • Local Machine Learning: Powered by TensorFlow.js (MobileNet, COCO-SSD, Universal Sentence Encoder, etc.).
  • Monetization Ready: Integrated x402 protocol for charging per tool call via Solana (devnet/mainnet).
  • Extensible: Easily add new tools via lib/ modules and tool-registry.js.
  • Ready for Agents: Full OpenAPI 3.0 specification for seamless integration with AI agents.

Setup Requirements

Prerequisites

Configuration

Copy .env.example to .env and configure the following:

VariableDescriptionDefault
PAY_TO_ADDRESSSolana wallet address to receive x402 payments.REQUIRED
FACILITATOR_URLx402 facilitator URL.https://x402.org/facilitator
X402_PRICE_USDPrice per tool call in USD.0.005
X402_NETWORKPayment network (devnet or mainnet).devnet
PUBLIC_ORIGINPublic URL for the server (needed for discovery).http://localhost:6350

Installation

npm install

Running the Server

Start the MCP Server

npm run mcp

Start all services (MCP, REST, Worker)

npm run start:all

Start the TUI

npm run tui

API Documentation

The server exposes an OpenAPI 3.0 specification at http://localhost:6350/openapi.json.

See readme.txt in the root for a summary of available endpoints.

Contributing

  1. Fork the repository.
  2. Create your feature branch.
  3. Commit your changes.
  4. Push to the branch.
  5. Open a Pull Request.

License

MIT